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AL-Rafidain Journal of Computer Sciences and Mathematics

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Image compression using Modified Fuzzy Adaptive Resonance Theory

    Ielaf O. abdl-majjed

AL-Rafidain Journal of Computer Sciences and Mathematics, 2009, Volume 6, Issue 3, Pages 151-160
10.33899/csmj.2009.163829

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Abstract

This research developed a software which can be used for image compression. This research proposes two methods: the first uses Joint Photographic Experts Group (JPEG), while the second uses artificial neural network (Modified Fuzzy Adaptive Resonance Theory (MFART)) algorithm. This software is applied on two types of images (jpeg and tiff). Several parameters in compression methods are tested, the results reveal that the MFART is better than the JPEG metod. The Root Mean Square Error (ERMS) for MFART method on jpeg image is equal 3.7 but it is equal to 26.09 when JPEG method implement on to the same image. MATLAB has been used in the  implementation of this software.
 
Keywords:
    image compression Modified Fuzzy Adaptive Resonance Theory
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(2009). Image compression using Modified Fuzzy Adaptive Resonance Theory. AL-Rafidain Journal of Computer Sciences and Mathematics, 6(3), 151-160. doi: 10.33899/csmj.2009.163829
Ielaf O. abdl-majjed. "Image compression using Modified Fuzzy Adaptive Resonance Theory". AL-Rafidain Journal of Computer Sciences and Mathematics, 6, 3, 2009, 151-160. doi: 10.33899/csmj.2009.163829
(2009). 'Image compression using Modified Fuzzy Adaptive Resonance Theory', AL-Rafidain Journal of Computer Sciences and Mathematics, 6(3), pp. 151-160. doi: 10.33899/csmj.2009.163829
Image compression using Modified Fuzzy Adaptive Resonance Theory. AL-Rafidain Journal of Computer Sciences and Mathematics, 2009; 6(3): 151-160. doi: 10.33899/csmj.2009.163829
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